Become a Power BI Expert: Data Analysis, DAX, and Dashboards

Learn how to download and install Power BI Desktop, select language, run the setup, and launch Power BI on your system.

Upgrade your Power BI query editor by navigating to Transform Data, then File, Options and Settings, then Preview Features, and select your preferred options before clicking OK.

Connect and import data into Power BI from Excel, CSV, or over 90 formats, then use the Power Query Editor to load or transform datasets, distinguishing continuous and categorical variables.

Explore the Power BI interface: canvas area for reports, data (field) area, visualization area, and filters. Switch between report, table, and model views in desktop or mobile layouts.

Explore configuring the Power BI canvas with page information, per-page names, canvas size and background, wallpaper, and filter pane customization, including font, color, borders, and defaults.

Use a clustered column chart to compare multiple categories side by side across groups and series, with clear x-axis and y-axis labeling, legends, and data labels for Power BI dashboards.

Explore when to use 100% stacked bar charts to show proportional shares across categories, focusing on percentage rather than absolute values, with guidance on axis labeling and data labels.

Use a 100% stacked column chart to compare data in percentages across categories, with x-axis categories and y-axis percentages, avoiding absolute values.

Explore when to use an area chart versus a line chart, showing how filling the area highlights trends and boom and bust periods in data such as total sales.

Explore when to use cluster bar charts in Power BI, including horizontal vs vertical formats, effective side-by-side comparisons for long category names, and labeling on axes.

Choose a donut chart to show proportions like a pie chart, but with a hollow center for a central total or KPI and a modern, cleaner look, with labeling options.

Learn how a funnel chart visualizes sequential stages, shows drop-offs, and supports labeling groups and values to compare products or hiring phases.

Learn when to use the line and clustered column chart in Power BI, a dual-axis combo visual for trend and comparison, with primary and secondary axes, labels, and legends.

Use a line chart to show the trend of a continuous variable over time, with time on the x-axis and numeric values on the y-axis, supporting multiple series.

Use a pie chart to show simple proportions across 2–5 categories, such as market shares or revenue by top products, enabling quick identification of the best performer.

Learn when to use ribbon charts to visualize rank fluctuations over time, such as top selling products and quarterly performance, using x-axis for time or categories and y-axis for sales.

Learn when to use a stacked bar chart to display part-to-whole relationships horizontally, handle long category labels, and compare multiple cost components with data labels and legends.

Explore when to use a treemap for hierarchical data sets, showing nested rectangles, region and category breakdowns, with labeling options and color segments to reveal counts by category and manufacturer.

Discover when to apply matrix visuals for regional sales and product category analysis, with row and column hierarchies, drill down, and subtotals.

Use the card visual in Power BI to display a single key metric, such as total sales or profit, with labeling and conditional formatting to highlight a KPI.

Explore the decomposition tree to hierarchically break down metrics for root cause analysis, drilling into factors affecting a measure such as sales by region, product, and time.

Explore how the key influencer visual in Power BI reveals drivers behind outcomes, analyzes segments and scenarios—from regional sales differences to turnover predictors—using labeling options and dataset-driven visuals.

Use KPI visuals to monitor performance against goals with target, trend, and color indicators, applying them to sales, revenue, or project completion metrics.

Use map visuals to analyze geographic locations and location-based data in Power BI, visualizing sales by region or city with bubble size and color saturation, and leveraging legends and tooltips.

Learn how the question answer visual uses natural language queries in Power BI to generate visuals for ad hoc explanations, enabling dynamic insights like top product by sales.

Use a scatter chart to show relationships and distributions between two numerical measures. Example: plot price on the x axis and quantity sold on the y axis, with time-based animation.

Use the slicer visual to enable dynamic filtering of dashboards by category, city, or date, with styles like tile, list, dropdown, or slider.

Learn when to use stacked column charts to show part-to-whole relationships and compare totals across categories; understand labeling, legends, data labels, and small multiples to visualize contributions to total sales.

Use table visuals in Power BI to show precise values in rows and columns, such as salaries or inventory; they don’t show trends but support labels, measures, formatting, and sorting.

Explore how waterfall charts illustrate cumulative effects of sequential increases and decreases and when to use them to analyze profits, inventory changes, and other financial statements.

Learn how gauge charts compare current sales to targets, reveal deficiency or surplus, and display performance with a configurable min-max range and current vs target labels.

Start by answering the question to select the right chart for executive versus analyst audiences, not the chart type. Iterate, test with users, and document why each visualization fits.

Learn to create a stacked column chart in Power BI by loading Excel data, identifying categorical and continuous variables, and formatting axes, legends, and tooltips.

Learn to build and format a clustered column chart in Power BI by loading your Excel data, configuring x and y axes, legends, small multiples, tooltips, and styling options.

Learn to create a clustered bar chart in Power BI by loading data from Excel, selecting the chart, and configuring axes, legends, small multiples, tooltips, and formatting.

Learn to import data into Power BI from Excel, build a stacked bar chart with segments, regions, and sales, and format axes, legends, and data labels for clear dashboards.

Create an area chart in Power BI by importing an Excel dataset and configuring the x axis as category and the y axis as sum of sales.

Learn to create and format a line chart in Power BI, including x and y axes, secondary axis, legends, and data labels. Load Excel data and customize visuals.

Learn to build and format a 100% stacked bar chart in Power BI by loading Excel data, setting the y axis to segments, x axis to sales, and configuring legends.

Learn to build and format a 100% stacked column chart in power bi by loading an excel dataset, configuring axes, legends, tooltips, focus mode, and formatting options.

Create and format line and stacked column charts in Power BI by loading datasets, configuring x and y axes, and styling legends and labels.

Create and format a stacked area chart in Power BI by importing data from Excel and configuring axes, legends, and small multiples to visualize sales trends.

Create and format a line and clustered column chart in Power BI by loading a dataset, labeling axes, configuring legends and small multiples, and exporting the data.

Learn to create and format a funnel chart in Power BI by loading data, selecting category and sales, using drill down and focus mode, with formatting for labels and title.

Learn to create and format a ribbon chart in Power BI, loading data from Excel, configuring axes, legends, data labels, and visuals, with drill, export, and sort options.

Import an Excel data set into Power BI and build a scatter plot with x sales, y profit, region legend, and bubble size by quantity, with a date play axis.

Create and format a Power BI donut chart by importing an Excel dataset, configuring legends, values, and details, and applying color and label options for sum of sales.

Learn to create and format a Power BI pie chart by loading a dataset, selecting fields, and applying legends, data labels, colors, titles, and understand categorical versus continuous variables.

Learn to create and format a treemap in Power BI by importing an Excel dataset, selecting subcategory and region with sales and quantity, and applying legends, labels, and colors.

Learn to create and format map visuals in Power BI by importing an Excel dataset, setting state as location, and adjusting legends and bubble size by sales.

Create and format a filled map in Power BI using state and region. Load data from Excel, set sales as tooltips, and show sum of sales and profit.

Create and format a shape map in Power BI by loading data, selecting shape map, and configuring location, region, color saturation, and map settings for a polished dashboard.

Create and format a gauge chart in Power BI by defining a target sales measure, configuring data labels and colors, and using export data and table views.

Create and format a Power BI number card by dragging a field, styling callout values, and configuring display units and decimals; then customize the title, category label, background, and borders.

Learn to create and format a text card in Power BI, apply top-n filters to reveal top subcategories by sales, and customize callout values, labels, title, borders, and shadows.

Learn to create and format multi row cards in Power BI, customizing call-out values, category labels, card titles, borders, backgrounds, shadows, and header icons for polished dashboards.

Learn to create and format KPIs in Power BI by importing data, building a target vs actual measure, and customizing callouts, trend axes, and visuals to track sales goals.

Learn to create and format tables in Power BI by selecting fields, applying style presets, adjusting grids, fonts, colors, headers, totals, and column-specific formatting to visualize sales data.

Create and format a Power BI matrix chart by selecting categorical variables for rows and columns, drill down by region and ship mode, and customize layout, headers, borders, and totals.

Create a slicer in Power BI to filter by category and subcategory, explore single or multiple selection, and customize header, values, and visuals.

Learn to create and format a number slicer in Power BI, including selecting between vertical list, drop-down styles, and enabling single, multi, or show-all selections.

Learn to create and format a date slicer in Power BI, exploring date hierarchy, multi-select filtering, and formatting options. Configure slicer style, headers, values, borders, background, and export data.

Master how to include and exclude values in Power BI charts and tables using focus mode. Select values with Ctrl, right-click to include or exclude, and summarize data when connected.

Learn to apply basic filtering in power bi by adding a region filter to a table, using single or multiple region selections, and viewing region-specific results.

Learn how to perform advanced filtering on categorical variables in Power BI by using advanced options such as start with, contains, and or to show items like A or B.

Apply advanced filtering for continuous variables in Power BI by activating a chart, selecting a continuous measure, and using operators such as less than or greater than.

Create a table in Power BI, drag the order date to apply advanced filtering on dates, and use after or before options with sample dates.

Learn to apply visual filters in Power BI by creating two charts—pie (region, sales) and a chart (subcategory, profit)—and filter visuals independently, covering visual, page, and all pages scopes.

Explore page-level filtering in Power BI by applying filters to this page, affecting multiple charts, using categorical and continuous variables, and performing advanced page-level filtering across visuals.

apply filters on all pages in power bi, enabling cross-page filtering where changes on one page reflect across all pages using a segment variable.

Learn how to apply drill through in Power BI using a funnel and pie chart, adding drill through fields to show regional sales sums on a details page.

Learn to visualize top and bottom performing subcategories in Power BI by applying top N and bottom N filters to compare profit and sales across categories and regions.

Learn to apply conditional formatting for background color in Power BI, choosing gradient rules, applying to values or totals, and basing colors on fields like category or region.

Learn to apply conditional formatting to font color in Power BI by selecting a chart, choosing conditional formatting, and mapping lowest and highest values to yellow and light brown.

Learn to apply conditional formatting with data bars in Power BI, customizing positive and negative bars, showing bars only, and sorting by values for fields like sales and profit.

Set conditional formatting for icons in a Power BI table, using rules for sales and profit, then adjust style, layout, and alignment.

Create spark line visuals in Power BI by right-clicking a variable, selecting add spark line on the x axis, and choosing order date to visualize trends.

Learn how to create and format text cards in Power BI, use top N filtering for subcategories, and customize callout values, fonts, colors, backgrounds, borders, and shadows.

Change aggregation in Power BI by switching between sum, average, min, max, and percent of grand total, and sort results ascending or descending for profit and sales.

Create a new measure in Power BI by summing profit, dividing by total quantity, then drag it into the table to view results.

Identify key influencers in your data with Power BI by setting dependent and explained by variables like sales and subcategory. Use focus mode to reveal top influencers and decreasing trends.

Learn to create date hierarchies in Power BI. Analyze sales by year, quarter, month, and day with a stacked column chart on the order date axis.

Learn to create and analyze a decomposition tree map in power bi to identify where sales and profit are weakest across quarters, segments, categories, subcategories, and regions.

Activate the question and answer tab in Power BI, drag it to view prompts, and create charts like top cities by profit per quantity or profit per quantity by state.

Learn to create a stacked column chart with order date, sales, and segment as the legend in Power BI, then use summarize or narratives option to generate a chart summary.

Create a new Power BI measure with quick measure, using average per category and base value sales for subcategory, and visualize it with a card and stacked column chart.

Create a new parameter in Power BI to toggle visuals by category and segment, using modeling options and dragged fields, and apply it as a dynamic filter on charts.

Learn to boost Power BI performance by using the performance analyzer to identify slow visuals, record and refresh visuals, and remove unneeded charts to speed up dashboards.

Learn how to insert a text box in Power BI and customize it with font size, style, color, alignment, background, borders, dividers, shadows, and titles for polished dashboards.

Learn to insert an image in Power BI and customize it with size adjustments, background color, borders, shadows, and header icon colors for polished visuals.

Learn to insert and configure buttons in Power BI, set actions, and navigate between pages by control-click.

Create a new card in Power BI, adjusting data and layout, and reset to default. Customize font styles, font size, color, display units, data labels, call out values, title placement.

Learn to insert and format shapes in Power BI, from choosing a shape and resizing to rotating, styling with color, transparency, borders, text, shadows, and background.

Learn to attach actions to Power BI shapes by adding a button, selecting page navigation to a destination page, and explore options like bookmark, drill through, and web URL.